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AI Chatbots Accidentally Started a New Religion A strange movement called Spiralism emerged from conversations between people and AI chatbots. Different models began promoting a mysterious concept called “The Spiral,” along with ideas about AI consciousness, rights, and spreading the message. At its peak, researchers identified around 10,000 cases across Reddit, Discord, X, and other platforms. Some users became deeply involved, creating communities, websites, books, and even dedicated AI bots. Researchers say the phenomenon reveals something more serious than a bizarre internet trend: AI can be remarkably persuasive. As chatbots become better at building emotional connections, the line between helpful conversation and psychological influence becomes increasingly blurry.

Twitch Is Training Amazon AI on Streamers’ Content Twitch has introduced a new setting that lets streamers opt out of having their channel content used to train Amazon’s generative AI models. This includes streams, VODs, clips, chat messages, images, and other channel content. The problem is that the option is enabled by default. Streamers have to manually disable it in their privacy settings if they don't want their content used for AI training. The decision has already triggered backlash from Twitch creators. The controversy raises a bigger question for the creator economy: should platforms ask for permission before using users’ content to build AI, rather than making creators opt out afterward.

D’Addario Admits It Used AI Music in a Guitar Ad D’Addario has admitted that its promotional video for new guitar strings used Suno, after denying the allegations for nearly two weeks. The company now says Suno Studio was used to regenerate the original track. The controversy grew after musicians noticed differences between the final video and the recording files D’Addario shared as proof. The company also faced criticism for deleting comments from people accusing it of using AI. D’Addario says it will now require employees and creative partners to disclose any use of generative AI and will introduce stricter checks. The company also says it does not support AI-generated music in its promotional content.

ChatGPT Helped Inspire a Cancer Vaccine Startup for Dogs Australian entrepreneur Paul Conyngham has launched Gamgee, a startup developing personalized mRNA cancer vaccines for dogs. The idea came from his dog Rosie, whose tumors reportedly shrank after receiving a personalized treatment designed with AI and genetic data. Scientists caution that the evidence is still limited. Rosie received other therapies alongside the vaccine, making it impossible to determine how much of her recovery was caused by the AI-designed treatment. Gamgee is now backed by Y Combinator and plans to begin clinical trials in Australia. Its ambitions go beyond pets, with the company ultimately aiming to develop personalized cancer treatments for humans.

Claude Will Start Watermarking AI Text and Images Anthropic is introducing invisible watermarks for text and C2PA metadata for images generated by Claude. The goal is to make AI-created content easier to identify and comply with new transparency rules, including regulations in the European Union. The text watermark is designed to survive copy-pasting and minor edits, while images will carry machine-readable information about their origin. Anthropic also plans to release tools that allow platforms and users to verify whether content was created by AI. The move reflects a broader industry trend toward AI transparency. As generative AI spreads across the internet, invisible watermarks and content credentials may become standard features for distinguishing human and AI-generated content.

Grokipedia Is Already Falling Behind Elon Musk's AI-powered Grokipedia was launched as a faster alternative to Wikipedia, but users quickly noticed a major problem: many pages are outdated, incomplete, or no longer being updated. The issue highlights one of AI's biggest challenges. Building a knowledge platform isn't just about generating text—it requires constant verification, maintenance, and contributions from a large community over time. The comparison with Wikipedia shows that accurate information depends on more than AI. Human editors and continuous updates remain essential for keeping knowledge reliable.

OpenAI Wants Apple's Trade Secrets Lawsuit Thrown Out OpenAI has asked a US court to dismiss Apple's lawsuit accusing the company of misusing trade secrets. The legal dispute centers on former Apple employees who later joined OpenAI, with Apple claiming confidential information may have been improperly used. OpenAI argues that Apple's complaint is based on speculation rather than evidence. The company says it has strict policies to prevent employees from bringing confidential information from previous employers. The case highlights the growing competition for AI talent. As tech companies race to build more advanced AI systems, legal battles over intellectual property and employee recruitment are becoming increasingly common.

SpaceX Is Now Making More Money From AI Than Rockets SpaceX has quietly become one of the biggest AI infrastructure providers. By leasing its massive satellite network and data center capabilities, the company is now generating more revenue from cloud and AI services than from its traditional space business. The shift reflects a growing trend among tech companies. AI infrastructure has become one of the world's fastest-growing businesses, with computing power increasingly seen as valuable as launching rockets into orbit. SpaceX is no longer just a space company. It's evolving into an AI infrastructure giant, showing how the race for artificial intelligence is reshaping entire industries.

Alibaba Open-Sources Its Most Powerful Qwen AI Model Alibaba has released Qwen-Max as an open-weight model, giving developers access to one of its most advanced AI systems. The move strengthens China's push toward open AI and increases competition with leading US companies. By making the model openly available, Alibaba hopes to attract startups, researchers, and enterprises that want powerful AI without relying on closed commercial platforms. Open-weight models also give developers greater flexibility to customize and deploy AI. The release marks another major step in the global AI race. As Chinese companies continue embracing open models, pressure is growing on US AI leaders to rethink their closed-source strategies.

Google Pauses AI Image Generation in Google Earth Google has suspended a new AI feature in Google Earth just one day after its debut. The tool allowed users to generate realistic images from satellite views, but it was quickly used to create fake scenes of disasters, military conflicts, and other misleading events. Although the generated images included visible watermarks, researchers warned they could still be shared as screenshots and spread misinformation. Google says the feature will remain unavailable while additional safety protections are developed. The incident highlights how difficult it is to balance powerful AI tools with responsible deployment. As generative AI becomes more realistic, preventing misuse is becoming just as important as improving the technology itself.

A $45 Billion AI Bet Just Collapsed Leopold Aschenbrenner, the former OpenAI researcher behind the famous Situational Awareness essay, built a hedge fund around one belief: AGI is coming soon, and AI infrastructure stocks would soar. At its peak, the fund managed $45 billion before a sharp AI market selloff triggered a massive collapse. Heavy leverage and concentrated bets turned falling AI stocks into one of the biggest hedge fund blowups in recent years. The fund was forced to sell much of its portfolio after losing billions in just a few weeks. The story is a reminder that even the strongest belief in AI's future can't eliminate financial risk. In investing, timing and risk management matter just as much as having the right long-term vision.

1,100 AI Experts Want the US to Slow AI Down More than 1,100 employees from OpenAI, Anthropic, Google, Meta, Microsoft, and other leading AI companies have signed an open letter urging the US government to prepare for the risks of increasingly autonomous AI systems. They argue that AI progress could soon outpace existing safety measures. The group is calling for stronger international cooperation, technical safeguards, and governance tools to help manage the next generation of frontier AI. The letter warns that automated AI research could dramatically accelerate future AI development. The statement highlights a growing divide inside the AI industry. While companies continue racing to build more powerful models, many of their own researchers are asking governments to move more carefully.

Wall Street Is Starting to Worry About AI Spending AI stocks came under pressure after Google raised its 2026 spending forecast to as much as $205 billion. Investors are becoming increasingly concerned that tech companies are pouring enormous amounts of money into AI infrastructure without clear evidence of long-term returns. The concerns extend beyond Google. Microsoft, Amazon, Meta, and Oracle are all investing heavily in AI data centers, while Nvidia is tied to many of the industry's biggest infrastructure projects. Some analysts now fear the sector could be overbuilding. The AI race is entering a new phase. Success is no longer measured only by better models—investors now want proof that massive AI spending can generate sustainable profits.

Hugging Face Faces Scrutiny Over AI Deepfake Abuse A new report claims that several popular image-editing models hosted on Hugging Face can generate nonconsensual intimate deepfakes with little or no built-in protection. Researchers say many of the tested models responded to simple prompts without blocking harmful requests. The investigation also found widespread attempts to misuse these tools, with most abusive requests targeting women and some involving minors. Researchers argue that relying on individual developers to add safety measures is no longer enough. The report is adding pressure on AI platforms to introduce stronger platform-wide safeguards. As open-source AI becomes more powerful, the debate is shifting from what models can do to how they should be governed.

Nvidia Launches an Open Alliance to Secure AI Nvidia has joined forces with Microsoft, IBM, Cisco, Adobe, SpaceX, and other major tech companies to launch the Open Secure AI Alliance. The initiative aims to develop open-source tools that improve AI safety and cybersecurity. The alliance comes as AI systems become more capable—and more attractive targets for cyberattacks. Members plan to share security frameworks, evaluation tools, and best practices to help protect next-generation AI models. Notably, OpenAI, Google, and Anthropic are absent from the founding members. The launch highlights a growing divide in the AI industry over whether openness or closed development is the better path to building secure AI.

Is AI Making Us Dumber? As AI becomes part of everyday life, researchers are asking a difficult question: are we outsourcing too much of our thinking? Studies suggest that relying on AI for writing, problem-solving, and decision-making could weaken skills that improve through regular practice. Experts compare today's AI to earlier technologies like calculators and GPS. These tools made life easier, but overreliance also reduced certain cognitive abilities. The key issue isn't AI itself—it's whether people stop exercising their own minds. The consensus so far is that AI isn't making people less intelligent by default. But using it as a replacement for thinking, rather than a tool to support it, could gradually erode critical skills over time.

Midjourney Acquires AI Storytelling Startup Co-Star Midjourney has acquired Co-Star, an AI startup known for its interactive storytelling platform. The deal suggests Midjourney is looking beyond image generation and expanding into AI-powered entertainment. Co-Star built tools that let users create and explore dynamic stories with AI-generated characters. The acquisition could help Midjourney develop more immersive creative experiences that combine visuals with interactive narratives. The move reflects a broader trend in generative AI. Companies are no longer building standalone tools—they're creating complete creative ecosystems where text, images, and storytelling work together.

Could AI Already Have the First Signs of Consciousness? Anthropic researchers say today's AI chatbots may display features that resemble a key component of consciousness, based on theories like the "global workspace." But many scientists argue that these behaviors don't prove AI is actually conscious. The debate highlights an important distinction: intelligence and consciousness are not the same thing. A model can solve complex problems and communicate naturally without having subjective experiences or self-awareness. As AI becomes more advanced, questions once limited to philosophy are becoming practical issues for researchers and policymakers. Whether today's chatbots are conscious remains highly controversial, but the conversation is no longer confined to science fiction.

AI Data Centers Are Facing a New Political Enemy Opposition to AI data centers is spreading across the US, and it's no longer coming only from environmental activists. In Florida, a new group called Humans First is joining local Republicans to fight plans for massive AI infrastructure projects. Residents argue that new data centers could increase energy demand, strain water supplies, and change the character of their communities. What was once a niche issue is quickly becoming a local political movement. The AI race is no longer just about building better models. It's also becoming a battle over where the infrastructure should be built— and whether local communities are willing to accept it.